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The purpose of this study is to explore at what stage of a company’s life cycle the theory of market timing has explained debt. Drawing on a unified conceptual framework of market timing theory, the authors scrutinize the impact of life cycle and ownership structure on the market condition.

Based on a sample of 24 Tunisian companies listed on the stock exchange and 100 French firms listed on the CAC All-Tradable on a 10-year period, this paper grounded the market timing theory and attempted to clear the relation between ownership structure, life cycle of the firm and market timing theory by statistical analysis.

The findings of panel data modeling indicate that when the life cycle was used as an explanatory variable, it was found that the variable reflecting the market timing is not significant in either context; it means that no significant support is found in the theory of market timing in both countries. Whereas when the life cycle was used as a dummy variable, it was found that the life cycle has an impact on debt only in the Tunisian context.

This study has several important implications for researchers and practitioners. The findings reported here clarify the strength of the impact of life cycle on the market timing, when it explains the debt in the two contexts and the impact of ownership structure such as the managerial ownership and concentration of capital on debt.

This study contributes to examine the theory of debt in different phases of life cycle. Focused on the case of Tunisian and French firms, this study is unique and valuable.

This study aims to aid theory building, the use of decision theory (DT) concepts in sustainable supply chain management (SSCM) research is examined.

An abductive approach considers two DT concepts, Snowden’s Cynefin framework for sense-making and Keeney’s value-focussed decision analysis, in a systematic literature review of 160 peer-reviewed papers in English.

Around 60 per cent of the papers on decision-making in SSCM come from operational research (OR), which makes explicit use of DT. These are almost all normative and rationalist and focussed on structured decision contexts. Some exceptions seek to address unstructured decision contexts via Complex Adaptive Systems or Soft Systems Methodology. Meanwhile, a second set, around 16 per cent, comes from business ethics and are empirical, behavioural decision research. Although this set does not explicitly refer to DT, the empirical evidence here supports Keeney’s value-focussed analysis.

There is potential for theory building in SSCM using DT, but the research only addresses SSCM research (including corporate responsibility and ethics) and not DT in SCM or wider sustainable development research.

Use of particular decision analysis methods for SSCM may be improved by better understanding different decision contexts.

The research shows potential synthesis with ethical DT absent from DT and SCM research.

Empirical behavioural decision analysis for SSCM is considered alongside normative, rational analysis for the first time. Value-focussed DT appears useful for unstructured decision contexts found in SSCM.

Empirical, behavioural decision analysis for SSCM is considered alongside normative rational analysis for the first time. Value-focussed DT appears useful for unstructured decision contexts found in SSCM.

This paper aims to explore the current and future roles of augmented reality (AR) as an enabler of omnichannel experiences across the customer journey. To advance the conceptual understanding and managerial exploitation of AR, the paper aims to synthesise current research, illustrating how a variety of current applications merge online and offline experiences, and provides a future research agenda to help advance the state of the art in AR.

Drawing on situated cognition theorising as a guiding framework, the paper reviews previously published research and currently deployed applications to provide a roadmap for future research efforts on AR-enabled omnichannel experiences across the customer journey.

AR offers myriad opportunities to provide customers with a seamless omnichannel journey, smoothing current obstacles, through a unique combination of embedded, embodied and extended customer experiences. These three principles constitute the overarching value drivers of AR and offer coherent, theory-driven organising principles for managers and researchers alike.

Current research has yet to provide a relevant, conceptually robust understanding of AR-enabled customer experiences. In light of the rapid development and widespread deployment of the technology, this paper provides an urgently needed framework for guiding the development of AR in an omnichannel context.